26 citations · 62 across the 9 of their papers we have counts for
10 papers
Global Optimization of Flexible District Heating Networks
Marc E. Pfetsch, Lea Rehlich, Florian Steinke +1
District heating networks are a central tool to achieve low-carbon heat supplies. In this realm, they face the challenge of dealing with increasingly heterogeneous, partially time-…
Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids
Andreas Bott, Tim Janke, Florian Steinke
Flexible district heating grids form an important part of future, low-carbon energy systems. We examine probabilistic state estimation in such grids, i.e., we aim to estimate the p…
Generative machine learning methods for multivariate ensemble post-processing
Jieyu Chen, Tim Janke, Florian Steinke +1
Ensemble weather forecasts based on multiple runs of numerical weather prediction models typically show systematic errors and require post-processing to obtain reliable forecasts.…
Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?
Mario Beykirch, Tim Janke, Florian Steinke
Probabilistic forecasting in combination with stochastic programming is a key tool for handling the growing uncertainties in future energy systems. Derived from a general stochasti…
Measuring LTI System Resilience against Adversarial Disturbances based on Efficient Generalized Eigenvalue Computations
Johannes Börner, Florian Steinke
Resilient systems are able to recover quickly and easily from disturbed system states that might result from hazardous events or malicious attacks. In this paper a novel resilience…
Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series
Mario Beykirch, Tim Janke, Imed Tayeche +1
We consider the problem of automated anomaly detection for building level heat load time series. An anomaly detection model must be applicable to a diverse group of buildings and p…
Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing
Tim Janke, Florian Steinke
The reliable estimation of forecast uncertainties is crucial for risk-sensitive optimal decision making. In this paper, we propose implicit generative ensemble post-processing, a n…
On the minimal set of controllers and sensors for linear power flow
Edwin Mora, Florian Steinke
We consider a linear power flow model with interval-bounded nodal power injections and limited line power flows. We determine the minimal number of power injections to control base…
Modeling Time-dependent CO Intensities in Multi-modal Energy Systems with Storage
Christopher Ripp, Florian Steinke
CO emission reduction and increasing volatile renewable energy generation mandate stronger energy sector coupling and the use of energy storage. In such multi-modal energy syst…
Can Distribution Grids Significantly Contribute to Transmission Grids' Voltage Management?
Sabine Auer, Florian Steinke, Wang Chunsen +2
Power generation in Germany is currently transitioning from a system based on large, central, thermal power plants to one that heavily relies on small, decentral, mostly renewable…